Server-Side Request Forgery in ModelScope Agentscope
The National Vulnerability Database has identified CVE-2026-6604, a critical Server-Side Request Forgery (SSRF) vulnerability impacting modelscope agentscope versions up to 1.0.18. The flaw resides in the _parse_url/prepare_image/openai_audio_to_text functions within src/agentscope/tool/_multi_modality/_openai_tools.py. Attackers can exploit this by manipulating image or audio file URLs, allowing them to force the server to make unintended requests to internal or external resources. The exploit is publicly available, significantly increasing the risk of exploitation.
This SSRF vulnerability, rated HIGH with a CVSS score of 7.3, poses a substantial risk to organizations utilizing this component. The lack of vendor response to disclosure is concerning and leaves users exposed. Defenders must prioritize patching or mitigating this vulnerability to prevent potential data exfiltration, unauthorized access to internal systems, or denial-of-service conditions.
What This Means For You
- If your organization uses modelscope agentscope, immediately check your version. If you are running 1.0.18 or earlier, patch to the latest version or implement strict input validation and network segmentation for the affected component to prevent unauthorized server-side requests.
Related ATT&CK Techniques
🛡️ Detection Rules
3 rules · 6 SIEM formats3 detection rules auto-generated for this incident, mapped to MITRE ATT&CK. Sigma YAML is free — export to any SIEM format via the Intel Bot.
CVE-2026-6604 - SSRF in ModelScope Agentscope URL Parsing
Indicators of Compromise
| ID | Type | Indicator |
|---|---|---|
| CVE-2026-6604 | SSRF | modelscope agentscope up to 1.0.18 |
| CVE-2026-6604 | SSRF | src/agentscope/tool/_multi_modality/_openai_tools.py |
| CVE-2026-6604 | SSRF | function _parse_url/prepare_image/openai_audio_to_text |
| CVE-2026-6604 | SSRF | manipulation of argument image_url/audio_file_url |
| CVE-2026-6604 | SSRF | component Cloud Metadata Endpoint |
Source & Attribution
| Source Platform | NVD |
| Channel | National Vulnerability Database |
| Published | April 20, 2026 at 08:16 UTC |
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